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Zdenek Strakos – författare

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4 produkter

  1. Zdenek Strakos, Jorg Liesen - Krylov Subspace Methods, E-bok. Tillgänglighet: Lägg i varukorg

    Krylov Subspace Methods

    Principles and Analysis

    Av Zdenek Strakos, Jorg Liesen

    E-bok, 2012

    864 kr

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    The mathematical theory of Krylov subspace methods with a focus on solving systems of linear algebraic equations is given a detailed treatment in this principles-based book. Starting from the idea of projections, Krylov subspace methods are characterised by their orthogonality and minimisation …

  2. Jörg Liesen, Zdenek Strakos - Krylov Subspace Methods, Häftad. Tillgänglighet: Lägg i varukorg

    Krylov Subspace Methods

    Principles and Analysis

    Av Jörg Liesen, Zdenek Strakos

    Häftad, 2015

    1052 kr

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    The mathematical theory of Krylov subspace methods with a focus on solving systems of linear algebraic equations is given a detailed treatment in this principles-based book. Starting from the idea of projections, Krylov subspace methods are characterised by their orthogonality and minimisation …

  3. Jörg Liesen, Zdenek Strakos - Krylov Subspace Methods, Inbunden. Tillgänglighet: Lägg i varukorg

    Krylov Subspace Methods

    Principles and Analysis

    Av Jörg Liesen, Zdenek Strakos

    Inbunden, 2012

    2031 kr

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    The mathematical theory of Krylov subspace methods with a focus on solving systems of linear algebraic equations is given a detailed treatment in this principles-based book. Starting from the idea of projections, Krylov subspace methods are characterised by their orthogonality and minimisation …

  4. Josef Málek, Zdeněk Strakoš - Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs, Häftad. Tillgänglighet: Lägg i varukorg

    Preconditioning and the Conjugate Gradient Method in the Context of Solving PDEs

    Av Josef Málek, Zdeněk Strakoš

    Häftad, 2014

    596 kr

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    This first title in SIAM’s Spotlights book series is about the interplay between modeling, analysis, discretization, matrix computation, and model reduction. The authors link PDE analysis, functional analysis, and calculus of variations with matrix iterative computation using Krylov subspace …